Convex Optimisation for Inverse Kinematics. - Tarun Yenamandra; Florian Bernard; Jiayi Wang 001; Franziska Mueller 001; Christian Theobalt (3DV, 2019)

i3DMM: Deep Implicit 3D Morphable Model of Human Heads. - Tarun Yenamandra; Ayush Tewari; Florian Bernard; Hans-Peter Seidel; Mohamed Elgharib; Daniel Cremers; Christian Theobalt (CVPR, 2021)

Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections. - Zhenzhang Ye; Tarun Yenamandra; Florian Bernard; Daniel Cremers (AAAI, 2022)

HDSDF: Hybrid Directional and Signed Distance Functions for Fast Inverse Rendering. - Tarun Yenamandra; Ayush Tewari; Nan Yang 007; Florian Bernard; Christian Theobalt; Daniel Cremers (CoRR, 2022)

Implicit Shape Completion via Adversarial Shape Priors. - Abhishek Saroha; Marvin Eisenberger; Tarun Yenamandra; Daniel Cremers (CoRR, 2022)

Urban-StyleGAN: Learning to Generate and Manipulate Images of Urban Scenes. - George Eskandar; Youssef Farag; Tarun Yenamandra; Daniel Cremers; Karim Guirguis; Bin Yang 009 (IV, 2023)

Gaussian Splatting in Style. - Abhishek Saroha; Mariia Gladkova; Cecilia Curreli; Dominik Muhle; Tarun Yenamandra; Daniel Cremers (GCPR (2), 2024)

SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering. - Mohammed Brahimi 002; Bjoern Haefner; Tarun Yenamandra; Bastian Goldluecke; Daniel Cremers (WACV, 2024)

FIRe: Fast Inverse Rendering using Directional and Signed Distance Functions. - Tarun Yenamandra; Ayush Tewari; Nan Yang 007; Florian Bernard; Christian Theobalt; Daniel Cremers (WACV, 2024)

Gaussian Splatting in Style. - Abhishek Saroha; Mariia Gladkova; Cecilia Curreli; Tarun Yenamandra; Daniel Cremers (CoRR, 2024)